Shubo Liu

DAStream: Efficient Drift-Adaptive Anomaly Detection for Streaming Data in Resource-Constrained Edge Intelligence

Real-time anomaly detection in industrial IoT (IIoT) often requires processing continuous data streams on resource-constrained edge nodes while addressing non-stationary data distributions caused by changes in device operating states. Traditional statistical or distance-based methods typically rely on fixed thresholds...